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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: swin-tiny-patch4-window7-224-finetuned-IDRiD
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# swin-tiny-patch4-window7-224-finetuned-IDRiD
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8534
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- Accuracy: 0.7143
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 3 | 1.5419 | 0.3810 |
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| No log | 2.0 | 6 | 1.3336 | 0.4048 |
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| No log | 3.0 | 9 | 1.2311 | 0.5238 |
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| 1.4831 | 4.0 | 12 | 1.1594 | 0.5238 |
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| 1.4831 | 5.0 | 15 | 1.0889 | 0.5 |
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| 1.4831 | 6.0 | 18 | 1.0743 | 0.5 |
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| 1.1593 | 7.0 | 21 | 1.0466 | 0.5476 |
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| 1.1593 | 8.0 | 24 | 1.0160 | 0.5714 |
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| 1.1593 | 9.0 | 27 | 0.9660 | 0.6190 |
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| 1.008 | 10.0 | 30 | 0.9390 | 0.6190 |
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| 1.008 | 11.0 | 33 | 0.9158 | 0.5952 |
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| 1.008 | 12.0 | 36 | 0.8734 | 0.6190 |
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| 1.008 | 13.0 | 39 | 0.8715 | 0.6667 |
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| 0.8963 | 14.0 | 42 | 0.8261 | 0.6667 |
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| 0.8963 | 15.0 | 45 | 0.8683 | 0.6190 |
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| 0.8963 | 16.0 | 48 | 0.8772 | 0.6429 |
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| 0.8404 | 17.0 | 51 | 0.8729 | 0.6905 |
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| 0.8404 | 18.0 | 54 | 0.8571 | 0.7143 |
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| 0.8404 | 19.0 | 57 | 0.8546 | 0.7143 |
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| 0.8263 | 20.0 | 60 | 0.8534 | 0.7143 |
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### Framework versions
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- Transformers 4.30.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.13.3
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